Cyber Resilience

CVE-2026-29778

Path Traversal in Pyload-Ng Project Pyload-Ng 0.5.0b3.dev13 – 0.5.0b3.dev97

Public PoCPath Traversal
Published
07 March 2026
Modified
11 March 2026
Patch / advisory
CVSS Score v3.1 7.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
EPSS Score 0.0052 41th percentile
Risk Priority 54 floored blend · peak EPSS

Summary

CVE-2026-29778 is a high-severity Relative Path Traversal (CWE-23) vulnerability in Pyload-Ng Project Pyload-Ng. Its CVSS base score is 7.1 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2026-29778 is a path traversal vulnerability (CWE-23) in pyLoad, a free and open-source download manager written in Python. The issue affects the edit_package() function, which inadequately sanitizes the pack_folder parameter by relying on a single-pass string replacement of "../". This protection can be bypassed using crafted recursive traversal sequences. Vulnerable versions range from 0.5.0b3.dev13 to 0.5.0b3.dev96, with a CVSS v3.1 base score of 7.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L).

The vulnerability can be exploited by low-privilege authenticated users (PR:L) over the network (AV:N) with low attack complexity (AC:L) and no user interaction (UI:N). Successful exploitation enables directory traversal, resulting in high integrity impact (I:H), such as unauthorized modifications to files outside the intended directory, alongside low availability impact (A:L) and no confidentiality loss (C:N).

pyLoad has patched this issue in version 0.5.0b3.dev97. Additional mitigation guidance is available in the GitHub security advisory at https://github.com/pyload/pyload/security/advisories/GHSA-6px9-j4qr-xfjw.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

pyLoad is a free and open-source download manager written in Python. From version 0.5.0b3.dev13 to 0.5.0b3.dev96, the edit_package() function implements insufficient sanitization for the pack_folder parameter. The current protection relies on a single-pass string replacement of "../", which can be…

more

bypassed using crafted recursive traversal sequences. This issue has been patched in version 0.5.0b3.dev97.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-42314Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35459Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35592Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-42315Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35187Same product: Pyload-Ng Project Pyload-Ng
CVE-2025-54802Same product: Pyload-Ng Project Pyload-Ng
CVE-2024-22416Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35463Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-40594Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35586Same product: Pyload-Ng Project Pyload-Ng

Affected Assets

pyload-ng project
pyload-ng
0.5.0b3.dev13 — 0.5.0b3.dev97

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V5.3.2

Mitigating Controls (NIST 800-53 r5) AI

Explicit validation of path inputs stops .. sequences from ever being interpreted by the file system.

Access enforcement directly blocks unauthorized file reads/writes that result from unresolved .. sequences.

Information-flow rules can be configured to reject traversals that would move data outside an approved directory boundary.

Least privilege reduces the set of reachable files even when a traversal succeeds.

Secure-engineering principles require safe pathname construction and input neutralization before any file operation.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require input validation and path sanitization that prevent relative traversal.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing in development catches path traversal via static/dynamic analysis, but does not itself implement the fix.

prevents

Secure development lifecycle mandates input validation and path-handling controls that directly prevent relative path traversal.

prevents

Application security requirements explicitly call for controls against path traversal and other injection flaws.

prevents

Secure architecture principles include directory isolation and canonicalization, reducing but not eliminating traversal risk.

prevents

Secure coding standards require neutralizing path traversal sequences, directly addressing CWE-23.

mitigates

Information access restriction limits which files can be reached, mitigating impact but not preventing the traversal flaw.

References